Abstract
In Web Intelligence (WI) applications, it is a common practice to record Web log data. What remains a big obstacle as well as a great challenge in log analysis today is how to characterize the underlying user behavior from the obtained data. In this paper, we will focus on how to interpret strong regularities in Web surfing in terms of user decision-making patterns, and present an information foraging agent-based approach to characterizing user behavior.
Original language | English |
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Title of host publication | AAMAS 2002: Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems: Part 1 |
Publisher | Association for Computing Machinery (ACM) |
Pages | 457-458 |
Number of pages | 2 |
ISBN (Print) | 9781581134803 |
DOIs | |
Publication status | Published - 15 Jul 2002 |
Event | The 1st International Joint Conference on: Autonomous Agents and Multiagent Systems, AAMAS 2002 - Bologna, Italy Duration: 15 Jul 2002 → 19 Jul 2002 https://dl.acm.org/doi/proceedings/10.1145/544741 |
Conference
Conference | The 1st International Joint Conference on: Autonomous Agents and Multiagent Systems, AAMAS 2002 |
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Country/Territory | Italy |
City | Bologna |
Period | 15/07/02 → 19/07/02 |
Internet address |
Scopus Subject Areas
- General Engineering
User-Defined Keywords
- Agent-Based Simulation
- Information Foraging Agents
- Self-Organized Criticality
- Web Regularity Characterization